Biological Sequence Analysis

von Sean R. Eddy, Anders Krogh, Richard Durbin

370 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.

• Themen: Mathematik und Naturwissenschaften Biologie, Biowissenschaften Biowissenschaften, allgemein Genetik (nicht-medizinisch)
• ISBN: 9780521629713
• Sprache: Englisch
• Erscheinungsdatum: 02.11.2015
• Größe: 244 x 170 mm
• Verlag: Cambridge University Press